The Face Detection Algorithm Set to Revolutionize Image Search The ability to spot faces from any angle, and even when partially occluded, has always been a uniquely human capability.

The new algorithm, written by Sachin Farfade, Mohammad Saberian, and Li-Jia Li, relies on advances in a type of machine learning called deep convolutional neural network.

The winning algorithm likely will strike that balance between speed and volume. Deep learning could be a key to help identify that sweet spot. “That has been the turbocharger in face recognition,” ...

The team has taken a fundamentally different approach to its predecessors, employing an advanced type of machine learning known as a deep convolutional neural network.

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.

Face-mask recognition has arrived—for better or worse New algorithms can police whether people are complying with public health guidance. The practice raises familiar questions about data privacy.